June 1, 2023, 1:10 a.m. | Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, David Wu, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Ma

cs.CR updates on arXiv.org arxiv.org

Manual engineering of high-performance implementations typically consumes
many resources and requires in-depth knowledge of the hardware. Compilers try
to address these problems; however, they are limited by design in what they can
do. To address this, we present CryptOpt, an automatic optimizer for long
stretches of straightline code. Experimental results across eight hardware
platforms show that CryptOpt achieves a speed-up factor of up to 2.56 over
current off-the-shelf compilers.

address automatic code compilers design engineering hardware high knowledge optimization performance problems resources results

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